Saerom Park

发表

Loss-Driven Adversarial Ensemble Deep Learning for On-Line Time Series Analysis

Hyungjin Ko, Jaewook Lee, Junyoung Byun, 2019, Sustainability.

Privacy-Preserving Fair Learning of Support Vector Machine with Homomorphic Encryption

Junyoung Byun, Saerom Park, Joohee Lee, 2022, WWW.

Fairness Audit of Machine Learning Models with Confidential Computing

Saerom Park, Seong-Hyeon Kim, Yeon-sup Lim, 2022, WWW.

Lipschitz-Certifiable Training with a Tight Outer Bound

Jaewook Lee, Saerom Park, Sungyoon Lee, 2020, NeurIPS.

Predicting Market Impact Costs Using Nonparametric Machine Learning Models

Jaewook Lee, Youngdoo Son, Saerom Park, 2016, PloS one.

Semi-supervised distributed representations of documents for sentiment analysis

Saerom Park, Jaewook Lee, Kyoungok Kim, 2019, Neural Networks.

Efficient differentially private kernel support vector classifier for multi-class classification

Junyoung Byun, Saerom Park, Jinseong Park, 2022, Information Sciences.

HE-Friendly Algorithm for Privacy-Preserving SVM Training

Jung Hee Cheon, Saerom Park, Junyoung Byun, 2020, IEEE Access.

Privacy‐preserving evaluation for support vector clustering

Junyoung Byun, Saerom Park, J. Lee, 2020 .

Efficient homomorphic encryption framework for privacy-preserving regression

Jaewook Lee, Junyoung Byun, Saerom Park, 2022, Applied Intelligence.

Learning of indiscriminate distributions of document embeddings for domain adaptation

Woojin Lee, Saerom Park, Jaewook Lee, 2019, Intell. Data Anal..

Instance Weighting Domain Adaptation Using Distance Kernel

Woojin Lee, Jaewook Lee, Saerom Park, 2018 .